Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "166" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 43 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 41 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459858 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 19.232505 | 25.466315 | -0.182007 | 0.149044 | 4.468529 | 3.008963 | 37.971752 | 62.046498 | 0.6569 | 0.5760 | 0.2966 | 2.602689 | 2.668181 |
| 2459857 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.441682 | -0.516123 | -0.270521 | -0.668648 | 0.683653 | -0.902649 | -0.852261 | -0.776398 | 0.0254 | 0.0255 | 0.0004 | nan | nan |
| 2459856 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 32.149880 | 38.733835 | 0.864873 | 1.205443 | 3.782291 | 3.686472 | 26.787662 | 12.914007 | 0.6444 | 0.6049 | 0.2998 | 3.404006 | 3.434874 |
| 2459855 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 25.206816 | 17.014300 | 0.186640 | 0.044860 | 3.937317 | 6.707722 | 29.188223 | 15.512697 | 0.6510 | 0.6938 | 0.3881 | 3.369707 | 3.281774 |
| 2459854 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 26.847950 | 43.522089 | 0.461727 | 1.200457 | 5.850299 | 2.657130 | 15.795689 | 3.618381 | 0.6676 | 0.6598 | 0.3437 | 3.098738 | 2.696869 |
| 2459853 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 13.404899 | 14.974747 | 0.789713 | 1.167648 | 1.757914 | 7.718874 | 20.601202 | 38.605290 | 0.7161 | 0.6535 | 0.3831 | 4.238378 | 3.862068 |
| 2459852 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 11.632512 | 1.923118 | -0.124625 | 1.501763 | 5.696469 | 6.311365 | 4.594624 | 3.279114 | 0.8005 | 0.8314 | 0.2188 | 7.105015 | 6.782440 |
| 2459851 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 9.896916 | 4.023044 | 1.249351 | 1.385797 | 4.332642 | 10.574818 | 5.439839 | 20.397056 | 0.7328 | 0.7235 | 0.3042 | 4.956540 | 4.181693 |
| 2459850 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 11.147264 | 15.727208 | 1.199048 | 0.968127 | 2.095449 | 9.467556 | 6.592502 | 24.074068 | 0.7254 | 0.7290 | 0.3143 | 2.920965 | 2.629599 |
| 2459849 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 39.454422 | 36.859576 | 4.058308 | 3.869230 | 5.595992 | 7.471874 | 24.179567 | 11.796414 | 0.6480 | 0.6603 | 0.2286 | 3.884567 | 3.645872 |
| 2459848 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 16.693124 | 34.602936 | 2.741712 | 2.288262 | 5.913942 | 12.142283 | 20.703731 | 15.008820 | 0.6928 | 0.6773 | 0.3052 | 3.930882 | 3.276270 |
| 2459847 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 19.474508 | 21.253446 | 2.029751 | 2.064237 | 9.219197 | 12.623608 | 47.089348 | 69.938740 | 0.6839 | 0.6337 | 0.3787 | 3.814036 | 3.559837 |
| 2459846 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 13.871343 | 14.699557 | 0.684197 | 0.968011 | 6.549962 | 9.127822 | 7.136997 | 0.783860 | 0.8106 | 0.5935 | 0.4555 | 5.817767 | 4.344015 |
| 2459845 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 44.360422 | 44.345930 | 3.588024 | 3.842704 | 9.225765 | 6.640936 | 44.860619 | 29.830850 | 0.6362 | 0.6420 | 0.2229 | 2.755086 | 1.343868 |
| 2459844 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 1.537942 | -0.029899 | 1.756249 | 2.826198 | 1.156695 | -0.483864 | -1.304825 | -1.828624 | 0.0251 | 0.0249 | 0.0004 | nan | nan |
| 2459843 | RF_maintenance | 100.00% | 1.20% | 0.66% | 0.00% | 100.00% | 0.00% | 53.655329 | 48.278874 | 1.118307 | 0.926551 | 2.341965 | 3.353019 | 19.284733 | 19.233012 | 0.6239 | 0.6301 | 0.2079 | 3.827898 | 3.593036 |
| 2459842 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 23.134135 | 21.604831 | 0.028835 | 0.528504 | -0.093401 | -0.860142 | 2.874329 | 1.783218 | 0.6713 | 0.5690 | 0.1603 | 4.811298 | 4.959314 |
| 2459841 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 2.532898 | 0.021521 | 0.274080 | 1.022358 | 1.152493 | -0.398436 | -0.803762 | -1.386077 | 0.0251 | 0.0248 | 0.0006 | nan | nan |
| 2459840 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 601.511017 | 515.683738 | 266.964717 | 229.105877 | 6206.206686 | 4220.303591 | 14424.452539 | 9581.360193 | 0.0059 | 0.0185 | 0.0043 | nan | nan |
| 2459839 | RF_maintenance | 0.00% | - | - | - | - | - | 0.028415 | 0.807625 | -0.070174 | 1.746970 | 3.202418 | 2.225263 | -1.429586 | -1.795622 | nan | nan | nan | nan | nan |
| 2459838 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 29.483915 | -0.371631 | 1.215543 | 0.815098 | 15.789644 | 1.801702 | 10.765433 | 0.229439 | 0.6781 | 0.7207 | 0.3820 | 0.000000 | 0.000000 |
| 2459836 | RF_maintenance | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0324 | 0.0352 | 0.0020 | nan | nan |
| 2459835 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.133182 | -0.562859 | -0.452623 | -0.534125 | 1.310154 | -0.758677 | -0.528190 | -1.101743 | 0.0338 | 0.0417 | 0.0042 | nan | nan |
| 2459833 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.595516 | 0.188572 | -0.582563 | -0.847443 | 1.142807 | -0.796049 | -0.598421 | -0.933547 | 0.0304 | 0.0290 | 0.0004 | nan | nan |
| 2459832 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 27.910167 | 0.814955 | 0.214942 | 0.869797 | 9.912954 | 5.166901 | 18.406995 | 18.636143 | 0.7345 | 0.5377 | 0.5036 | 4.490087 | 3.758556 |
| 2459831 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.104341 | 0.595095 | 0.002702 | 1.995587 | 1.684538 | 1.710479 | -1.017855 | -1.387865 | 0.0279 | 0.0270 | 0.0012 | nan | nan |
| 2459830 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459829 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 52.275603 | 20.601806 | 1.323468 | 0.822722 | 8.884726 | 12.144342 | 7.799717 | 23.306692 | 0.6715 | 0.6309 | 0.3678 | 0.000000 | 0.000000 |
| 2459828 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459827 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 47.426892 | 39.752973 | 2.670510 | 2.085057 | 7.564730 | 6.335812 | 19.605778 | 39.679778 | 0.6427 | 0.5661 | 0.2348 | 5.484655 | 4.077335 |
| 2459826 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 26.412084 | 1.989937 | 1.397560 | 1.631485 | 11.329413 | 9.619445 | 10.401595 | 12.238303 | 0.7186 | 0.5883 | 0.4137 | 3.690963 | 2.786567 |
| 2459825 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 38.385079 | 25.393313 | 1.760350 | 0.732524 | 9.033796 | 7.761535 | 14.077906 | 25.104297 | 0.6762 | 0.4969 | 0.3374 | 0.000000 | 0.000000 |
| 2459824 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 16.985294 | 6.077601 | 1.032854 | 1.377538 | 4.250592 | 15.493780 | 5.755553 | 6.765107 | 0.6850 | 0.7288 | 0.3379 | 0.000000 | 0.000000 |
| 2459823 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.995590 | 0.856294 | 1.764239 | 2.398829 | 1.893604 | 1.380459 | 30.986309 | 3.074956 | 0.7433 | 0.6442 | 0.4544 | 0.000000 | 0.000000 |
| 2459822 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 16.140299 | 25.815336 | 0.496458 | 1.969943 | 15.775012 | 5.396251 | 121.295732 | 24.334034 | 0.7481 | 0.5380 | 0.3791 | 0.000000 | 0.000000 |
| 2459821 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 32.833125 | 25.123647 | 2.588886 | 1.568056 | 6.923516 | 4.116122 | 15.456505 | 9.579117 | 0.6818 | 0.5201 | 0.2916 | 8.069306 | 6.929661 |
| 2459820 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 34.514539 | 19.175874 | 1.501372 | 1.058256 | 24.291241 | 22.754287 | 34.419689 | 58.201622 | 0.7026 | 0.6382 | 0.3595 | 0.000000 | 0.000000 |
| 2459817 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 29.085880 | 15.201747 | 2.741573 | 0.583467 | 7.653620 | 6.373929 | 7.924228 | 6.080920 | 0.7062 | 0.6047 | 0.3508 | 1.024996 | 1.040990 |
| 2459816 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 9.351637 | 5.249843 | 0.305393 | -0.098374 | 6.516220 | 21.634064 | 5.522271 | 13.524698 | 0.8293 | 0.5784 | 0.5493 | 6.039142 | 4.493477 |
| 2459815 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 9.411679 | 2.346895 | -0.170019 | 1.477604 | 11.650244 | 4.174514 | 107.355495 | 9.002086 | 0.7648 | 0.6521 | 0.4732 | 6.748523 | 5.394765 |
| 2459814 | RF_maintenance | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 36.344164 | 44.584694 | 0.480211 | 0.844392 | 26.541187 | 23.848053 | 23.133991 | 5.170211 | 0.7195 | 0.6060 | 0.3369 | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | nn Temporal Discontinuties | 62.046498 | 25.466315 | 19.232505 | 0.149044 | -0.182007 | 3.008963 | 4.468529 | 62.046498 | 37.971752 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Temporal Variability | 0.683653 | -0.516123 | -0.441682 | -0.668648 | -0.270521 | -0.902649 | 0.683653 | -0.776398 | -0.852261 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | nn Shape | 38.733835 | 32.149880 | 38.733835 | 0.864873 | 1.205443 | 3.782291 | 3.686472 | 26.787662 | 12.914007 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Temporal Discontinuties | 29.188223 | 17.014300 | 25.206816 | 0.044860 | 0.186640 | 6.707722 | 3.937317 | 15.512697 | 29.188223 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | nn Shape | 43.522089 | 43.522089 | 26.847950 | 1.200457 | 0.461727 | 2.657130 | 5.850299 | 3.618381 | 15.795689 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | nn Temporal Discontinuties | 38.605290 | 14.974747 | 13.404899 | 1.167648 | 0.789713 | 7.718874 | 1.757914 | 38.605290 | 20.601202 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Shape | 11.632512 | 11.632512 | 1.923118 | -0.124625 | 1.501763 | 5.696469 | 6.311365 | 4.594624 | 3.279114 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | nn Temporal Discontinuties | 20.397056 | 9.896916 | 4.023044 | 1.249351 | 1.385797 | 4.332642 | 10.574818 | 5.439839 | 20.397056 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | nn Temporal Discontinuties | 24.074068 | 11.147264 | 15.727208 | 1.199048 | 0.968127 | 2.095449 | 9.467556 | 6.592502 | 24.074068 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Shape | 39.454422 | 39.454422 | 36.859576 | 4.058308 | 3.869230 | 5.595992 | 7.471874 | 24.179567 | 11.796414 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | nn Shape | 34.602936 | 34.602936 | 16.693124 | 2.288262 | 2.741712 | 12.142283 | 5.913942 | 15.008820 | 20.703731 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | nn Temporal Discontinuties | 69.938740 | 21.253446 | 19.474508 | 2.064237 | 2.029751 | 12.623608 | 9.219197 | 69.938740 | 47.089348 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | nn Shape | 14.699557 | 13.871343 | 14.699557 | 0.684197 | 0.968011 | 6.549962 | 9.127822 | 7.136997 | 0.783860 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Temporal Discontinuties | 44.860619 | 44.345930 | 44.360422 | 3.842704 | 3.588024 | 6.640936 | 9.225765 | 29.830850 | 44.860619 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | nn Power | 2.826198 | 1.537942 | -0.029899 | 1.756249 | 2.826198 | 1.156695 | -0.483864 | -1.304825 | -1.828624 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Shape | 53.655329 | 48.278874 | 53.655329 | 0.926551 | 1.118307 | 3.353019 | 2.341965 | 19.233012 | 19.284733 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Shape | 23.134135 | 23.134135 | 21.604831 | 0.028835 | 0.528504 | -0.093401 | -0.860142 | 2.874329 | 1.783218 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Shape | 2.532898 | 2.532898 | 0.021521 | 0.274080 | 1.022358 | 1.152493 | -0.398436 | -0.803762 | -1.386077 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Temporal Discontinuties | 14424.452539 | 601.511017 | 515.683738 | 266.964717 | 229.105877 | 6206.206686 | 4220.303591 | 14424.452539 | 9581.360193 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Temporal Variability | 3.202418 | 0.807625 | 0.028415 | 1.746970 | -0.070174 | 2.225263 | 3.202418 | -1.795622 | -1.429586 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Shape | 29.483915 | -0.371631 | 29.483915 | 0.815098 | 1.215543 | 1.801702 | 15.789644 | 0.229439 | 10.765433 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Temporal Variability | 1.310154 | -0.562859 | -0.133182 | -0.534125 | -0.452623 | -0.758677 | 1.310154 | -1.101743 | -0.528190 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Temporal Variability | 1.142807 | 0.188572 | -0.595516 | -0.847443 | -0.582563 | -0.796049 | 1.142807 | -0.933547 | -0.598421 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Shape | 27.910167 | 27.910167 | 0.814955 | 0.214942 | 0.869797 | 9.912954 | 5.166901 | 18.406995 | 18.636143 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | nn Power | 1.995587 | -1.104341 | 0.595095 | 0.002702 | 1.995587 | 1.684538 | 1.710479 | -1.017855 | -1.387865 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Shape | 52.275603 | 20.601806 | 52.275603 | 0.822722 | 1.323468 | 12.144342 | 8.884726 | 23.306692 | 7.799717 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Shape | 47.426892 | 47.426892 | 39.752973 | 2.670510 | 2.085057 | 7.564730 | 6.335812 | 19.605778 | 39.679778 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Shape | 26.412084 | 1.989937 | 26.412084 | 1.631485 | 1.397560 | 9.619445 | 11.329413 | 12.238303 | 10.401595 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Shape | 38.385079 | 25.393313 | 38.385079 | 0.732524 | 1.760350 | 7.761535 | 9.033796 | 25.104297 | 14.077906 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Shape | 16.985294 | 16.985294 | 6.077601 | 1.032854 | 1.377538 | 4.250592 | 15.493780 | 5.755553 | 6.765107 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Temporal Discontinuties | 30.986309 | 0.856294 | 4.995590 | 2.398829 | 1.764239 | 1.380459 | 1.893604 | 3.074956 | 30.986309 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Temporal Discontinuties | 121.295732 | 16.140299 | 25.815336 | 0.496458 | 1.969943 | 15.775012 | 5.396251 | 121.295732 | 24.334034 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Shape | 32.833125 | 25.123647 | 32.833125 | 1.568056 | 2.588886 | 4.116122 | 6.923516 | 9.579117 | 15.456505 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | nn Temporal Discontinuties | 58.201622 | 34.514539 | 19.175874 | 1.501372 | 1.058256 | 24.291241 | 22.754287 | 34.419689 | 58.201622 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Shape | 29.085880 | 29.085880 | 15.201747 | 2.741573 | 0.583467 | 7.653620 | 6.373929 | 7.924228 | 6.080920 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | nn Temporal Variability | 21.634064 | 5.249843 | 9.351637 | -0.098374 | 0.305393 | 21.634064 | 6.516220 | 13.524698 | 5.522271 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | ee Temporal Discontinuties | 107.355495 | 2.346895 | 9.411679 | 1.477604 | -0.170019 | 4.174514 | 11.650244 | 9.002086 | 107.355495 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 166 | N14 | RF_maintenance | nn Shape | 44.584694 | 44.584694 | 36.344164 | 0.844392 | 0.480211 | 23.848053 | 26.541187 | 5.170211 | 23.133991 |